Discuss the relative characteristics of each of the search strategies( greedy search, A* search, hill climbing search, heuristic function) for this particular problem. That is, state if the solution was optimal, and how many “unnecessary” nodes were expanded. Also explain in general, what is the best, expected, and worst case behavior of the algorithm. Also explain if certain assumptions lead to different behaviors.
Discuss the relative characteristics of each of the search strategies( greedy search, A* search, hill climbing search, heuristic function) for this particular problem. That is, state if the solution was optimal, and how many “unnecessary” nodes were expanded. Also explain in general, what is the best, expected, and worst case behavior of the algorithm. Also explain if certain assumptions lead to different behaviors.
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Artificial Intelligence.
Discuss the relative characteristics of each of the search strategies( greedy search, A* search, hill climbing search, heuristic function) for this particular problem.
That is, state if the solution was optimal, and how many “unnecessary” nodes were expanded.
Also explain in general, what is the best, expected, and worst case behavior of the algorithm.
Also explain if certain assumptions lead to different behaviors.
Transcribed Image Text:Part A. Route finding Problem
Below is a map of a group of cities (not drawn to scale), labeled with the cost (mileage) to go from one
city to another:
F
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Step 1: Define Greedy Search, A* Search, Hill Climbing Search, and heuristic function
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VIEWStep 4: Explain if certain assumptions lead to different behaviors
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